Relationship between Standard Uptake Values of Positron Emission Tomography/Computed Tomography and Salivary Metabolites in Oral Cancer: A Pilot Study

Ishikawa, Shinya; Hiraka, Toshitada; Kirii, Kazukuni; Sugimoto, Masahiro; Shiba, Hiroaki; Sugano, Akira; Kitabatake, Kenichiro; Toyoguchi, Yuuki; Kanoto, Masafumi; Nemoto, Kenji; Soga, Tomoyoshi; Tomita, Masaru; Iino, Mitsuyoshi

doi:10.3390/jcm9123958

Cited by 11 publications

(10 citation statements)

References 28 publications

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“…The protocol for saliva collection has been described previously (13)(14)(15)(16). Briefly, before saliva collection, a skilled dentist and dental hygienist checked the oral hygiene of all participants.…”

Section: Saliva Collection and Sample Preparationmentioning

confidence: 99%

“…We performed a metabolomic analysis of saliva samples as previously described (13)(14)(15)(16)(17). Briefly, frozen saliva was thawed and dissolved at room temperature.…”

Section: Metabolomic Analysis Of Salivamentioning

confidence: 99%

“…Raw data were processed using MasterHands software (Keio University, Yamagata, Japan). Metabolites were identified by matching the corresponding m/ z values and migration times; further, absolute concentrations were calculated by comparing the peak area (normalized by those of internal standards) with those of standard mixtures (13)(14)(15)(16)(17). Our metabolomics data were comprised of two batches of data obtained from 23 (batch 1) and 49 (batch 2) participants, respectively.…”

Section: Metabolomic Analysis Of Salivamentioning

confidence: 99%

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Salivary Metabolomics for Prognosis of Oral Squamous Cell Carcinoma

et al. 2022

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This study aimed to identify salivary metabolomic biomarkers for predicting the prognosis of oral squamous cell carcinoma (OSCC) based on comprehensive metabolomic analyses. Quantified metabolomics data of unstimulated saliva samples collected from patients with OSCC (n = 72) were randomly divided into the training (n = 35) and validation groups (n = 37). The training data were used to develop a Cox proportional hazards regression model for identifying significant metabolites as prognostic factors for overall survival (OS) and disease-free survival. Moreover, the validation group was used to develop another Cox proportional hazards regression model using the previously identified metabolites. There were no significant between-group differences in the participants’ characteristics, including age, sex, and the median follow-up periods (55 months [range: 3–100] vs. 43 months [range: 0–97]). The concentrations of 5-hydroxylysine (p = 0.009) and 3-methylhistidine (p = 0.012) were identified as significant prognostic factors for OS in the training group. Among them, the concentration of 3-methylhistidine was a significant prognostic factor for OS in the validation group (p = 0.048). Our findings revealed that salivary 3-methylhistidine is a prognostic factor for OS in patients with OSCC.

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Section: Saliva Collection and Sample Preparationmentioning

confidence: 99%

“…We performed a metabolomic analysis of saliva samples as previously described (13)(14)(15)(16)(17). Briefly, frozen saliva was thawed and dissolved at room temperature.…”

Section: Metabolomic Analysis Of Salivamentioning

confidence: 99%

Section: Metabolomic Analysis Of Salivamentioning

confidence: 99%

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Salivary Metabolomics for Prognosis of Oral Squamous Cell Carcinoma

et al. 2022

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“…The alternative approach is an 18F-FDG dual-phase PET/CT where there is no strong distinction between benign and malignant lesions from the other forms of pre-operative imagery. Early and delayed SUV max values are therefore essential for malignancy diagnosis ( Ishikawa et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Radiobiological risks in terms of effective dose and organ dose from 18F-FDG whole-body PET/CT procedures

Alameen

Tamam

Awadain

et al. 2021

Saudi Journal of Biological Sciences

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Introduction Integrated Positron Emission Tomography (PET) with Computerized tomography (CT) (PET/CT) are widely used to diagnose, stage and track human diseases during whole body scanning. Multi-modality imaging is an interesting area of research that aims at acquiring united morphological-functional image information for accurate diagnosing and staging of the disease. However, PET/CT procedure accompanied with high radiation dose from CT and administered radioactivity. The aim of the present study was to estimate the patients’ dose from 18 F-fluorodeoxyglucose imaging (18F-FDG) hybrid PET/CT whole body scan. Materials and methods RADAR (Radiation Dose Assessment Resource) software was used to estimate the effective dose for 156 patients (110 (70.5%)) males and 46 (39.5%) female) examined using Discovery PET/CT 710, GE Medical Systems installed at Kuwait Cancer Control Center (KCCC). Results The effective dose results presented in this PET/CT study ranged from (1.56–9.94 mSv). The effective dose was calculated to be 3.88 mSv in females and 3.71 mSv in males. The overall breast (female), lung, liver, kidney and thyroid were 7.4, 7.2, 5.2, 4, 3 and 2.9, respectively. For females, the body mass index (BMI) was 28.49 kg/m 2 and for males it was 26.50 kg/m 2 which showed overweight values for both genders. Conclusions: The findings indicate that the effective dose of 18F-FDG in both male and female patients was not substantially different. The study suggested that the risk–benefit proportions of any 18 F-FDG whole body PET/CT scan should be clarified and carefully weighed. Patient’s doses are lower compared with previous studies.

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“…Ishikawa et al analyzed the relationship between the maximum standard update values (SUV max ) of 18 F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography (CT) and salivary metabolites quantified using capillary electrophoresis-TOFMS (CE-TOFMS). The identified metabolites showed a potential to detect patients with high SUV max values [2]. Kawanishi et al evaluated the effect of prosthetic treatment on patients with Candida albicans and found an improvement in saliva flow rate [3].…”

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confidence: 99%